Functions for the Book "Applied Statistical Modeling for Ecologists"

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Documentation for package ‘ASMbook’ version 1.0.2

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demoMCMC Fit a Poisson GLM with MCMC
getMLE Print Estimates, Standard Errors, and 95% Wald-type Confidence Intervals From optim Output
get_MLE Print Estimates, Standard Errors, and 95% Wald-type Confidence Intervals From optim Output
nimbleSummary Summarize MCMC Samples in an mcmc.list Object Created by NIMBLE
nimble_summary Summarize MCMC Samples in an mcmc.list Object Created by NIMBLE
simDat102 Simulate data for Chapter 10.2: Linear mixed-effects model
simDat105 Simulate data for Chapter 10.5: Linear mixed-effects model with correlation between intercepts and slopes
simDat11 Simulate data for Chapter 11: Comparing two groups of Poisson counts
simDat122 Simulate data for Chapter 12.2: Overdispersed counts
simDat123 Simulate data for Chapter 12.3: Zero-inflated counts
simDat124 Simulate data for Chapter 12.4: Counts with offsets
simDat13 Simulate data for Chapter 13: Poisson ANCOVA
simDat14 Simulate data for Chapter 14: Poisson GLMM
simDat15 Simulate data for Chapter 15: Comparing two groups of binomial counts
simDat16 Simulate data for Chapter 16: Binomial ANCOVA
simDat17 Simulate data for Chapter 17: Binomial GLMM
simDat18 Simulate data for Chapter 18: model selection
simDat19 Simulate data for Chapter 19: Occupancy model
simDat19B Simulate data for Chapter 19B: Binomial N-mixture Model
simDat20 Simulate data for Chapter 20: Integrated model
simDat4 Simulate data for Chapter 4: Model of the mean
simDat5 Simulate data for Chapter 5: Simple linear regression
simDat62 Simulate data for Chapter 6.2: Two groups with equal variance
simDat63 Simulate data for Chapter 6.3: Two groups with unequal variance
simDat72 Simulate data for Chapter 7.2: ANOVA with fixed effects of population
simDat73 Simulate data for Chapter 7.3: ANOVA with random effects of population
simDat8 Simulate data for Chapter 8: Two-way ANOVA
simDat9 Simulate data for Chapter 9: ANCOVA or general linear model
tmbSummary Summarize Output from TMB
tmb_summary Summarize Output from TMB